ChenQian0618 / TFN
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
☆108Updated last year
Alternatives and similar repositories for TFN:
Users that are interested in TFN are comparing it to the libraries listed below
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆69Updated 9 months ago
- A few shot learning repository for bearing fault diagnosis.☆78Updated last year
- The intelligent fault diagnosis of HNU IDG☆86Updated 2 years ago
- ☆53Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆52Updated 7 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆96Updated 2 months ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆35Updated last year
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆52Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆84Updated 2 months ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆111Updated last week
- The intelligent fault diagnosis methods of HNU IDG☆65Updated 2 years ago
- ☆45Updated 2 years ago
- ☆93Updated last year
- ☆78Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障…☆4Updated 2 months ago
- Using transformer to realize Bearing Fault Diagnosis☆60Updated last year
- ☆96Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- ☆41Updated 2 weeks ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆147Updated 3 years ago
- ☆86Updated 6 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆37Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- 基于深度学习的机械设备故障诊断方法研究☆31Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆59Updated 3 weeks ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆49Updated 2 weeks ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- Code sharing of fault diagnosis papers.☆47Updated last year
- ☆32Updated 2 years ago